{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Node representation learning with Watch Your Step\n",
    "\n",
    "> This notebook demonstrates how to use the StellarGraph implementation of [Watch Your Step](https://arxiv.org/abs/1710.09599)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbsphinx": "hidden",
    "tags": [
     "CloudRunner"
    ]
   },
   "source": [
    "<table><tr><td>Run the latest release of this notebook:</td><td><a href=\"https://mybinder.org/v2/gh/stellargraph/stellargraph/master?urlpath=lab/tree/demos/embeddings/watch-your-step-embeddings.ipynb\" alt=\"Open In Binder\" target=\"_parent\"><img src=\"https://mybinder.org/badge_logo.svg\"/></a></td><td><a href=\"https://colab.research.google.com/github/stellargraph/stellargraph/blob/master/demos/embeddings/watch-your-step-embeddings.ipynb\" alt=\"Open In Colab\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\"/></a></td></tr></table>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "nbsphinx": "hidden",
    "tags": [
     "CloudRunner"
    ]
   },
   "outputs": [],
   "source": [
    "# install StellarGraph if running on Google Colab\n",
    "import sys\n",
    "if 'google.colab' in sys.modules:\n",
    "  %pip install -q stellargraph[demos]==1.2.1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "nbsphinx": "hidden",
    "tags": [
     "VersionCheck"
    ]
   },
   "outputs": [],
   "source": [
    "# verify that we're using the correct version of StellarGraph for this notebook\n",
    "import stellargraph as sg\n",
    "\n",
    "try:\n",
    "    sg.utils.validate_notebook_version(\"1.2.1\")\n",
    "except AttributeError:\n",
    "    raise ValueError(\n",
    "        f\"This notebook requires StellarGraph version 1.2.1, but a different version {sg.__version__} is installed.  Please see <https://github.com/stellargraph/stellargraph/issues/1172>.\"\n",
    "    ) from None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from stellargraph.core import StellarGraph\n",
    "from stellargraph.mapper import AdjacencyPowerGenerator\n",
    "from stellargraph.layer import WatchYourStep\n",
    "from stellargraph.losses import graph_log_likelihood\n",
    "from stellargraph import datasets\n",
    "from stellargraph.utils import plot_history\n",
    "\n",
    "from matplotlib import pyplot as plt\n",
    "from tensorflow.keras import optimizers, Model, layers, regularizers\n",
    "import tensorflow as tf\n",
    "from sklearn import preprocessing, feature_extraction, model_selection\n",
    "from IPython.display import display, HTML\n",
    "\n",
    "import networkx as nx\n",
    "import random\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "tf.random.set_seed(1234)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading in the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "DataLoadingLinks"
    ]
   },
   "source": [
    "(See [the \"Loading from Pandas\" demo](../basics/loading-pandas.ipynb) for details on how data can be loaded.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": [
     "DataLoading"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "The Cora dataset consists of 2708 scientific publications classified into one of seven classes. The citation network consists of 5429 links. Each publication in the dataset is described by a 0/1-valued word vector indicating the absence/presence of the corresponding word from the dictionary. The dictionary consists of 1433 unique words."
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dataset = datasets.Cora()\n",
    "display(HTML(dataset.description))\n",
    "G, subjects = dataset.load()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating the model\n",
    "\n",
    "We create an `AdjacencyPowerGenerator` which loops through the rows of the first `num_powers` of the adjacency matrix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "generator = AdjacencyPowerGenerator(G, num_powers=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we use the `WatchYourStep` class to create trainable node embeddings and expected random walks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "wys = WatchYourStep(\n",
    "    generator,\n",
    "    num_walks=80,\n",
    "    embedding_dimension=128,\n",
    "    attention_regularizer=regularizers.l2(0.5),\n",
    ")\n",
    "x_in, x_out = wys.in_out_tensors()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We use the graph log likelihood as our loss function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Model(inputs=x_in, outputs=x_out)\n",
    "model.compile(loss=graph_log_likelihood, optimizer=tf.keras.optimizers.Adam(1e-3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training\n",
    "\n",
    "We now create a training generator and fit our model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "epochs = 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train for 270 steps\n",
      "Epoch 1/100\n",
      "270/270 [==============================] - 1s 5ms/step - loss: 19299.1514\n",
      "Epoch 2/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 18584.0471\n",
      "Epoch 3/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 13763.5269\n",
      "Epoch 4/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 6771.1345\n",
      "Epoch 5/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 4035.6309\n",
      "Epoch 6/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 3519.8691\n",
      "Epoch 7/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 3383.0847\n",
      "Epoch 8/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 3320.7310\n",
      "Epoch 9/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 3277.2439\n",
      "Epoch 10/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 3238.2837\n",
      "Epoch 11/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 3199.8162\n",
      "Epoch 12/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 3156.2153\n",
      "Epoch 13/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 3107.1416\n",
      "Epoch 14/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 3049.6755\n",
      "Epoch 15/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 2981.1811\n",
      "Epoch 16/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 2901.2860\n",
      "Epoch 17/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 2808.0300\n",
      "Epoch 18/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 2700.7581\n",
      "Epoch 19/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 2581.6943\n",
      "Epoch 20/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 2447.4928\n",
      "Epoch 21/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 2302.0684\n",
      "Epoch 22/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 2147.9549\n",
      "Epoch 23/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 1986.4759\n",
      "Epoch 24/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 1820.3749\n",
      "Epoch 25/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 1655.2787\n",
      "Epoch 26/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 1491.3064\n",
      "Epoch 27/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 1335.0083\n",
      "Epoch 28/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 1188.2650\n",
      "Epoch 29/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 1050.2244\n",
      "Epoch 30/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 929.6299\n",
      "Epoch 31/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 822.2163\n",
      "Epoch 32/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 731.3553\n",
      "Epoch 33/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 652.2980\n",
      "Epoch 34/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 586.6967\n",
      "Epoch 35/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 528.6466\n",
      "Epoch 36/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 478.4964\n",
      "Epoch 37/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 434.0944\n",
      "Epoch 38/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 392.1930\n",
      "Epoch 39/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 356.2435\n",
      "Epoch 40/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 324.6430\n",
      "Epoch 41/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 297.3347\n",
      "Epoch 42/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 273.8448\n",
      "Epoch 43/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 253.3782\n",
      "Epoch 44/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 234.9921\n",
      "Epoch 45/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 218.5847\n",
      "Epoch 46/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 203.9068\n",
      "Epoch 47/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 190.1291\n",
      "Epoch 48/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 178.2929\n",
      "Epoch 49/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 167.0052\n",
      "Epoch 50/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 157.4150\n",
      "Epoch 51/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 148.5489\n",
      "Epoch 52/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 140.3815\n",
      "Epoch 53/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 132.8729\n",
      "Epoch 54/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 125.9563\n",
      "Epoch 55/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 119.8609\n",
      "Epoch 56/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 114.1773\n",
      "Epoch 57/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 108.9112\n",
      "Epoch 58/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 104.0912\n",
      "Epoch 59/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 99.6460\n",
      "Epoch 60/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 95.5902\n",
      "Epoch 61/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 91.8379\n",
      "Epoch 62/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 88.3480\n",
      "Epoch 63/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 85.1091\n",
      "Epoch 64/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 82.1819\n",
      "Epoch 65/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 79.4157\n",
      "Epoch 66/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 76.8253\n",
      "Epoch 67/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 74.4604\n",
      "Epoch 68/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 72.1983\n",
      "Epoch 69/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 70.1434\n",
      "Epoch 70/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 68.2032\n",
      "Epoch 71/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 66.4372\n",
      "Epoch 72/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 64.7467\n",
      "Epoch 73/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 63.2199\n",
      "Epoch 74/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 61.7614\n",
      "Epoch 75/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 60.4157\n",
      "Epoch 76/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 59.1597\n",
      "Epoch 77/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 58.0120\n",
      "Epoch 78/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 56.8866\n",
      "Epoch 79/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 55.8909\n",
      "Epoch 80/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 54.9267\n",
      "Epoch 81/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 54.0852\n",
      "Epoch 82/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 53.2545\n",
      "Epoch 83/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 52.4935\n",
      "Epoch 84/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 51.8347\n",
      "Epoch 85/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 51.1775\n",
      "Epoch 86/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 50.5880\n",
      "Epoch 87/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 50.0379\n",
      "Epoch 88/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 49.5201\n",
      "Epoch 89/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 49.0467\n",
      "Epoch 90/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 48.6053\n",
      "Epoch 91/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 48.2098\n",
      "Epoch 92/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 47.8241\n",
      "Epoch 93/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 47.4858\n",
      "Epoch 94/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 47.1706\n",
      "Epoch 95/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 46.8783\n",
      "Epoch 96/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 46.6151\n",
      "Epoch 97/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 46.3614\n",
      "Epoch 98/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 46.1341\n",
      "Epoch 99/100\n",
      "270/270 [==============================] - 1s 3ms/step - loss: 45.9292\n",
      "Epoch 100/100\n",
      "270/270 [==============================] - 1s 4ms/step - loss: 45.7389\n"
     ]
    }
   ],
   "source": [
    "batch_size = 10\n",
    "train_gen = generator.flow(batch_size=batch_size, num_parallel_calls=10)\n",
    "\n",
    "history = model.fit(\n",
    "    train_gen, epochs=epochs, verbose=1, steps_per_epoch=int(len(G.nodes()) // batch_size)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_history(history)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing Embeddings\n",
    "\n",
    "Now we use TSNE to visualize the embeddings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "embeddings = wys.embeddings()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sklearn\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "from sklearn.manifold import TSNE\n",
    "\n",
    "nodelist = list(G.nodes())\n",
    "\n",
    "labels = subjects.loc[nodelist]\n",
    "target_encoding = OneHotEncoder(sparse=False)\n",
    "label_vectors = target_encoding.fit_transform(labels.values.reshape(-1, 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "transform = TSNE\n",
    "\n",
    "trans = transform(n_components=2)\n",
    "emb_transformed = pd.DataFrame(trans.fit_transform(embeddings), index=nodelist)\n",
    "\n",
    "emb_transformed[\"label\"] = np.argmax(label_vectors, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "alpha = 0.7\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(7, 7))\n",
    "ax.scatter(\n",
    "    emb_transformed[0],\n",
    "    emb_transformed[1],\n",
    "    c=emb_transformed[\"label\"].astype(\"category\"),\n",
    "    cmap=\"jet\",\n",
    "    alpha=alpha,\n",
    ")\n",
    "\n",
    "ax.set(aspect=\"equal\", xlabel=\"$X_1$\", ylabel=\"$X_2$\")\n",
    "plt.title(\n",
    "    \"{} visualization of Watch Your Step embeddings for cora dataset\".format(\n",
    "        transform.__name__\n",
    "    )\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Classification\n",
    "\n",
    "Here, we predict the class of a node by performing a weighted average of the training labels, with the weights determined by the similarity of that node's embedding with the training node embeddings."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# choose a random set of training nodes by permuting the labels and taking the first 300.\n",
    "shuffled_idx = np.random.permutation(label_vectors.shape[0])\n",
    "train_node_idx = shuffled_idx[:300]\n",
    "test_node_idx = shuffled_idx[300:]\n",
    "\n",
    "training_labels = label_vectors.copy()\n",
    "training_labels[test_node_idx] = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.6789867109634552"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d = embeddings.shape[1] // 2\n",
    "\n",
    "predictions = np.dot(\n",
    "    np.exp(np.dot(embeddings[:, :d], embeddings[:, d:].transpose())), training_labels\n",
    ")\n",
    "\n",
    "np.mean(\n",
    "    np.argmax(predictions[test_node_idx], 1) == np.argmax(label_vectors[test_node_idx], 1)\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "nbsphinx": "hidden",
    "tags": [
     "CloudRunner"
    ]
   },
   "source": [
    "<table><tr><td>Run the latest release of this notebook:</td><td><a href=\"https://mybinder.org/v2/gh/stellargraph/stellargraph/master?urlpath=lab/tree/demos/embeddings/watch-your-step-embeddings.ipynb\" alt=\"Open In Binder\" target=\"_parent\"><img src=\"https://mybinder.org/badge_logo.svg\"/></a></td><td><a href=\"https://colab.research.google.com/github/stellargraph/stellargraph/blob/master/demos/embeddings/watch-your-step-embeddings.ipynb\" alt=\"Open In Colab\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\"/></a></td></tr></table>"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Tags",
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
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